The global machine learning market is projected to expand at a CAGR of 39.6% and is expected to be worth USD 13.5 Bn by 2023. With the generation of massive volumes of data across industries, data analytics is crucial to the success of businesses, leading to the rise of machine learning. Apart from this, the rapid evolution and increased use of Artificial intelligence (AI), development of new robust data models and associated algorithms, and a growing number of start-ups have given an impetus to the expansion of the global machine learning market.
Global Machine Learning Market (2018-2023)
Segmentation based on deployment:
Machine learning models can be deployed through cloud or on-premises. Cloud deployment is expected to expand at the highest CAGR (42.6%) during the 2018-2023 period, leading to a global revenue generation of USD 9.2 Bn by 2023. Cloud deployment is highly favorable in the developed regions (North America and Europe), owing to extensive technological advancements and high rates of adoption. Machine learning through cloud deployment is less expensive in terms of operation, has convenient usage, and greater data storage capacities. On-premises deployment is mainly used in the developing regions of APAC and RoW (Latin America, and the Middle East and Africa). This is mainly due to the predominance of legacy systems and low technology adoption rates. However, with the shift from legacy systems to cloud technology, the market shares of on-premises deployment is expected to reach only 31.6% by 2023.
Segmentation based on end user industry:
Based on end user industry, application of machine learning pertains to the areas of BFSI, retail, digital advertising, healthcare, and others'. The BFSI segment had a market share of 22.7% in 2018, and is expected to expand at a CAGR of 23.6% during the 2018-2023 period. This growth can be attributed to the increased use of AI, and generation of huge volumes of transactional data. ML provides advanced analytical capabilities, which is used to make accurate predictions about income leakages, cost reduction, revenue gains, data reporting to stakeholders, fraud detection, and other tasks. The others' segment comprises law, automobile, manufacturing, security, etc., and is expected to grow rapidly owing to the increased use of ML in self-driving cars (automobile), fraud detection (security), and self-learning robots (manufacturing sector). The healthcare sector is expected to expand at the highest CAGR (41.2%) during the 2018-2023 period, due to the increased use of AI and ML in image processing, automated systems, and to analyze refill patterns of customers and pharmacies, etc.
Regional insights:
The machine learning market in North America is expected to expand at a CAGR of 35.1% during the 2018-2023 period. Rapid technological development, innovation, and high rates of adoption will fuel the growth of the market. Asia-Pacific, on the other hand, will be the leading contributor to the global machine learning market, and is expected to contribute USD 3.55 Bn by 2023. Additionally, the Asia-Pacific region will witness the highest CAGR (46.1%) during the forecast period of 2018-2023. The key countries contributing to APAC's huge revenue are China, Singapore, Japan, and India. The revenue contribution by the Rest of the World' is expected to be USD 2.9 Bn by 2023. The European ML market is expected to expand at a CAGR of 30.3% during the 2018-2023 period, contributing USD 2.3 Bn by 2023
Companies covered:
Google
Microsoft Corporation
IBM Corporation
Apple
Amazon
Facebook
Salesforce
Baidu
Intel Corporation
SAP SE
Global Machine learning market (2018-2023)
Table of Contents
Chapter1. Executive summary
1.1. Market scope and segmentation
1.2. Key questions answered
1.3. Executive summary
Chapter 2. Global machine learning market - overview
2.1. Market definition
2.2. Global market overview - historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), geography-wise market revenue (USD Bn), and market attractiveness analysis
2.3. Global market drivers
2.4. Global market trends
2.5. Global market challenges
Chapter 3. Global machine learning market - based on deployment
3.1. Cloud deployment - market overview, global market revenue (USD Bn) - forecasted (2018-2023) market size (USD Bn), and key market observations
3.2. On-premises deployment - market overview, global market revenue (USD Bn) - forecasted (2018-2023) market size (USD Bn), and key market observations
Chapter4. Global machine learning market - based on end user industry
4.1. BFSI - market overview, global market revenue (USD Bn) - forecasted (2018-2023) market size (USD Bn), and key market observations
4.2. Retail - market overview, global market revenue (USD Bn) - forecasted (2018-2023) market size (USD Bn), and key market observations
4.3. Digital advertising - market overview, global market revenue (USD Bn) - forecasted (2018-2023) market size (USD Bn), and key market observations
4.4. Healthcare - market overview, global market revenue (USD Bn) - forecasted (2018-2023) market size (USD Bn), and key market observations
4.5. Others (law, automotive, manufacturing, security, etc.) - market overview, global market revenue (USD Bn) - forecasted (2018-2023) market size (USD Bn), and key market observations
Chapter5. North America machine learning market
5.1. Regional market overview - historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), and key market observations
5.2. Market segmentation based on deployment (cloud deployment, and on-premises deployment)- historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), and key market observations
5.3. Market segmentation based on end user industry (BFSI, retail, digital advertising, healthcare and others [law, automotive, manufacturing, security, etc.])- historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), and key market observations
Chapter 6. Europe machine learning market
6.1. Regional market overview - historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), and key market observations
6.2. Market segmentation based on deployment (cloud deployment, and on-premises deployment)- historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), and key market observations
6.3. Market segmentation based on end user industry (BFSI, retail, digital advertising, healthcare and others [law, automotive, manufacturing, security, etc.])- historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), and key market observations
Chapter 7. Asia-Pacific machine learning market
7.1. Regional market overview - historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), and key market observations
7.2. Market segmentation based on deployment (cloud deployment, and on-premises deployment)- historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), and key market observations
7.3. Market segmentation based on end user industry (BFSI, retail, digital advertising, healthcare and others [law, automotive, manufacturing, security, etc.])- historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), and key market observations
Chapter 8. RoW (Latin America, and the Middle East and Africa) machine learning market
8.1. Regional market overview - historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), and key market observations
8.2. Market segmentation based on deployment (cloud deployment, and on-premises deployment)- historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), and key market observations
8.3. Market segmentation based on end user industry (BFSI, retail, digital advertising, healthcare and others [law, automotive, manufacturing, security, etc.])- historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), and key market observations
Chapter 9. Competitive landscape
9.1. Google
9.1. a. Company snapshot
9.1. b. Products
9.1. c. Strategic initiatives
9.1. d. Countries present
9.1. e. Competitors
9.1. f. Key numbers
Note: Similar information areas will be covered for the remaining competitors
9.2. Microsoft Corporation
9.3. IBM Corporation
9.4. Apple
9.5. Amazon
9.6. Facebook
9.7. Salesforce
9.8. Baidu
9.9. Intel Corporation
9.10. SAP SE
Chapter10. Start-up firms
10.1. Anodot
10.2. Cinnamon
10.3. Citrine Informatics
10.4. Dataiku
10.5. CrowdAI
10.6. Drawbridge
Chapter11. Conclusion
11.1. Future outlook
Chapter12. Appendix
Research methodology
Assumptions
About Research On Global Markets
Global Language Learning Games Market Research Report 2024
Published: 10-Jan-2024 Price: US 2900 Onwards Pages: 82
Language learning games provide a meaningful context for language use and build on skills necessary for responding appropriately in another language while being under pressure in various circumstances. Games offer a dynamic learning environment and help to refine nearly all aspects of our language skillspronunciation, spelling, grammar, vocabulary, syntax, not to mention our listening and written comprehension which all help generate fluency.
The global Language Learning Games mark......
Global Self-Paced E-Learning Market Growth (Status and Outlook) 2024-2030
Published: 04-Jan-2024 Price: US 3660 Onwards Pages: 125
According to our LPI (LP Information) latest study, the global Self-Paced E-Learning market size was valued at US$ 6682.2 million in 2023. With growing demand in downstream market, the Self-Paced E-Learning is forecast to a readjusted size of US$ 11830 million by 2030 with a CAGR of 8.5% during review period.
The research report highlights the growth potential of the global Self-Paced E-Learning market. Self-Paced E-Learning are expected to show stable growth in the future market. Howeve......
Global Educational Software Market Growth (Status and Outlook) 2024-2030
Published: 04-Jan-2024 Price: US 3660 Onwards Pages: 109
According to our LPI (LP Information) latest study, the global Educational Software market size was valued at US$ million in 2023. With growing demand in downstream market, the Educational Software is forecast to a readjusted size of US$ million by 2030 with a CAGR of % during review period.
The research report highlights the growth potential of the global Educational Software market. Educational Software are expected to show stable growth in the future market. However, product differenti......
Global Education Software Market Growth (Status and Outlook) 2024-2030
Published: 04-Jan-2024 Price: US 3660 Onwards Pages: 87
According to our LPI (LP Information) latest study, the global Education Software market size was valued at US$ million in 2023. With growing demand in downstream market, the Education Software is forecast to a readjusted size of US$ million by 2030 with a CAGR of % during review period.
The research report highlights the growth potential of the global Education Software market. Education Software are expected to show stable growth in the future market. However, product differentiation, r......
Global Virtual Schools Market Growth (Status and Outlook) 2024-2030
Published: 04-Jan-2024 Price: US 3660 Onwards Pages: 133
According to our LPI (LP Information) latest study, the global Virtual Schools market size was valued at US$ 3762.3 million in 2023. With growing demand in downstream market, the Virtual Schools is forecast to a readjusted size of US$ 9121.2 million by 2030 with a CAGR of 13.5% during review period.
The research report highlights the growth potential of the global Virtual Schools market. Virtual Schools are expected to show stable growth in the future market. However, product differentia......
Global Virtual Schools Market 2024 by Company, Regions, Type and Application, Forecast to 2030
Published: 01-Jan-2024 Price: US 3480 Onwards Pages: 121
According to our (Global Info Research) latest study, the global Virtual Schools market size was valued at USD 3957.3 million in 2023 and is forecast to a readjusted size of USD 8992.4 million by 2030 with a CAGR of 12.4% during review period.
An online school (virtual school or e-school or cyber-school) teaches students entirely or primarily online or through the internet. An online school can mimic many of the benefits provided by a physical school (learning materials, online exercises......
Global Adaptive Content Publishing Market Status and Outlook 2023-2028
Published: 28-Dec-2023 Price: US 3160 Onwards Pages: 106
Our market research experts provide qualitative and quantitative analysis of the market based on involving economic and non-economic factors in the same report with market value (million USD) data for each segment and sub-segment. This way, clients can achieve all their goals while taking advantage of emerging opportunities. Technological advancements, new product launches, and market capital flows are compared across scenarios to demonstrate their impact over the forecast period.
D......
Global Artificial Intelligence Courses for C-suite Executives Industry Research Report, In-depth Analysis of Current Status and Outlook of Key Countries 2023-2028
Published: 28-Dec-2023 Price: US 3380 Onwards Pages: 110
Market Overview of Global Artificial Intelligence Courses for C-suite Executives market:
According to our latest research, the global Artificial Intelligence Courses for C-suite Executives market looks promising in the next 5 years. As of 2022, the global Artificial Intelligence Courses for C-suite Executives market was estimated at USD XX million, and it's anticipated to reach USD XX million in 2028, with a CAGR of XX% during the forecast years.
As businesses, science, and m......
Global Corporate E-learning Market Status and Outlook 2023-2028
Published: 27-Dec-2023 Price: US 3160 Onwards Pages: 124
E-learning allows business executives to learn anywhere and at any time. You can learn from virtually any place with a computer or mobile .
Our market research experts provide qualitative and quantitative analysis of the market based on involving economic and non-economic factors in the same report with market value (million USD) data for each segment and sub-segment. This way, clients can achieve all their goals while taking advantage of emerging opportunities. Technological advancement......
SERVICES
Value for Money
We believe in "optimum utilization of available budget and resources". While servicing our clients' (your) market research requirements, we keep the same approach in focus to help you get the best value for your $$s.
Ever Growing Inventory
Ranging from the smallest feasible / required data (datasheets, data facts, SWOT analysis, company profiles, etc) to full research reports that help you make decisions, our inventory is updated almost on a daily basis with the latest industry reports from domain experts that track more than 5000 niche sectors.
One Stop Solution
Need a custom research report on medical devices market? Require all available business intelligence on 3D printing industry? Exploring F&B sector of a particular country/region? RnRMarketResearch.com is your one-stop-solution to all market intelligence needs. We not only offer custom research and consulting services, we also "bundle" reports to meet your needs and help you fetch the data analysis you require for your business.
Dedicated Client Engagement
Not limited to only "finding" relevant reports for you, our client engagement team dedicates its efforts to understand your "business need" and accordingly maps available research data to help you move forward. Call "your" client engagement executive any time of your day and get your questions answered in order to make the correct business decision.
Saving Time and Efforts
Simply share your research requirement details with us and let us do all the hard work to find required intelligence for you. When you add up our "one stop solution" and "dedicated client engagement" services mentioned above, you obviously know the time and effort saving you do by working with us.
Payment Flexibility
Working with Fortune 500 organizations, we understand the importance of being flexible for payments. Share your payment terms with us and we will surely match up to them to ensure you get access to required business intelligence data without having to wait for the payment to be done.
Post-Purchase Research Support
Have questions after reading a report / datasheet bought through us? Not sure about the methodology used for data available in the research? Talk to us / Share your questions with us and if required, we will connect you with the analyst(s)/author(s) of the report(s) and ensure you get satisfactory answers for the same. Need more data / analysis / report(s) on the topic of your research/project? The RnRMarketResearch.com team is here for you 24X7 to support you with your post-purchase requirements.
Subscription Offers & Packages (Get in touch with us for more details -
[email protected] / +1 888 391 5441 )
- Ad Hoc
-
- Pay - as - you - go / Bucket Subscriptions
- Fixed Cost for #of reports
- Customize / Personalize as per your needs
